Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration.

IEEE Robotics and Automation Letters(2018)

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摘要
Point cloud registration is the task of aligning 3D scans of the same environment captured from different poses. When semantic information is available for the points, it can be used as a prior in the search for correspondences to improve registration. Semantic-assisted Normal Distributions Transform (SE-NDT) is a new registration algorithm that reduces the complexity of the problem by using the s...
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关键词
Semantics,Three-dimensional displays,Transforms,Gaussian distribution,Iterative closest point algorithm,Image color analysis,Partitioning algorithms
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